https://github.com/weiliu89/caffe

Caffe: a fast open framework for deep learning.
https://github.com/weiliu89/caffe

deep-learning object-detection real-time semantic-segmentation

Last synced: about 1 month ago
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Caffe: a fast open framework for deep learning.

• Host: GitHub
• URL: https://github.com/weiliu89/caffe
• Owner: weiliu89
• License: other
• Fork: true (BVLC/caffe)
• Created: 2015-03-31T22:32:56.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2023-04-21T17:17:09.000Z (over 1 year ago)
• Last Synced: 2024-09-25T23:31:12.716Z (about 2 months ago)
• Topics: deep-learning, object-detection, real-time, semantic-segmentation
• Language: C++
• Homepage: http://caffe.berkeleyvision.org/
• Size: 47.1 MB
• Stars: 4,767
• Watchers: 236
• Forks: 1,674
• Open Issues: 676
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Caffe

[![Build Status](https://travis-ci.org/BVLC/caffe.svg?branch=master)](https://travis-ci.org/BVLC/caffe)

[![License](https://img.shields.io/badge/license-BSD-blue.svg)](LICENSE)

Caffe is a deep learning framework made with expression, speed, and modularity in mind.

It is developed by Berkeley AI Research ([BAIR](http://bair.berkeley.edu))/The Berkeley Vision and Learning Center (BVLC) and community contributors.

Check out the [project site](http://caffe.berkeleyvision.org) for all the details like

- [DIY Deep Learning for Vision with Caffe](https://docs.google.com/presentation/d/1UeKXVgRvvxg9OUdh_UiC5G71UMscNPlvArsWER41PsU/edit#slide=id.p)

- [Tutorial Documentation](http://caffe.berkeleyvision.org/tutorial/)

- [BAIR reference models](http://caffe.berkeleyvision.org/model_zoo.html) and the [community model zoo](https://github.com/BVLC/caffe/wiki/Model-Zoo)

- [Installation instructions](http://caffe.berkeleyvision.org/installation.html)

and step-by-step examples.

## Custom distributions

 - [Intel Caffe](https://github.com/BVLC/caffe/tree/intel) (Optimized for CPU and support for multi-node), in particular Xeon processors (HSW, BDW, Xeon Phi).

- [OpenCL Caffe](https://github.com/BVLC/caffe/tree/opencl) e.g. for AMD or Intel devices.

- [Windows Caffe](https://github.com/BVLC/caffe/tree/windows)

## Community

[![Join the chat at https://gitter.im/BVLC/caffe](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/BVLC/caffe?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)

Please join the [caffe-users group](https://groups.google.com/forum/#!forum/caffe-users) or [gitter chat](https://gitter.im/BVLC/caffe) to ask questions and talk about methods and models.

Framework development discussions and thorough bug reports are collected on [Issues](https://github.com/BVLC/caffe/issues).

Happy brewing!

## License and Citation

Caffe is released under the [BSD 2-Clause license](https://github.com/BVLC/caffe/blob/master/LICENSE).

The BAIR/BVLC reference models are released for unrestricted use.

Please cite Caffe in your publications if it helps your research:

    @article{jia2014caffe,

      Author = {Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor},

      Journal = {arXiv preprint arXiv:1408.5093},

      Title = {Caffe: Convolutional Architecture for Fast Feature Embedding},

      Year = {2014}

    }